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CertMaster Learn + Labs & Study Guide (Online Book) for Data+ (DA0-001) - Learning Anytime

CertMaster Learn + Labs & Study Guide (Online Book) for Data+ (DA0-001) - Learning Anytime

Regular price $360.00 USD
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CompTIA Integrated CertMaster Learn + Labs for Data+ (DA0-001)

What's included

  • Integrated eLearning and gradable, hands-on Labs in a seamless workflow
  • Flexible content and resources suit a variety of classroom formats
  • For organizations purchasing for groups of students
  • Student license valid for 12 months

Show your mastery of data-driven decision-making. We're here to help you acquire the expertise you need to build a successful career in data analysis.

What is CertMaster Learn integrated with CertMaster Labs?

CertMaster Learn is a comprehensive eLearning experience that helps learners gain the knowledge and practical skills necessary to be successful on CompTIA certification exams, and in their career. A Learning Plan helps learners stay on track with your studies, while robust analytics bring awareness of strengths and weaknesses.

CertMaster Labs make it easy for learners to practice and apply their skills in real workplace scenarios in preparation for the certification exam. All lab activities use real equipment and software, offer feedback and hints, and provide a score based on learner inputs, ultimately guiding learners to the most correct and efficient path through job tasks.

In the integrated experience, CertMaster Labs are integrated as Study Tasks within the CertMaster Learn Learning Plan, accessible through a single login and seamless workflow. Easy-to-use course management tools provide a comprehensive suite of instructor resources alongside a reporting dashboard, making course preparation and progress tracking simple and efficient.

Topics Covered

Lesson 1: Identifying Basic Concepts of Data Schemas

Lesson 2: Understanding Different Data Systems

Lesson 3: Understanding Types and Characteristics of Data

Lesson 4: Comparing and Contrasting Different Data Structures, Formats, and Markup Languages

Lesson 5: Explaining Data Integration and Collection Methods

Lesson 6: Identifying Common Reasons for Cleansing and Profiling Data

Lesson 7: Executing Different Data Manipulation Techniques

Lesson 8: Explaining Common Techniques for Data Manipulation and Optimization

Lesson 9: Applying Descriptive Statistical Methods

Lesson 10: Describing Key Analysis Techniques

Lesson 11: Understanding the Use of Different Statistical Methods

Lesson 12: Using the Appropriate Type of Visualization

Lesson 13: Expressing Business Requirements in a Report Format

Lesson 14: Designing Components for Reports and Dashboards

Lesson 15: Distinguishing Different Report Types

Lesson 16: Summarizing the Importance of Data Governance

Lesson 17: Applying Quality Control to Data

Lesson 18: Explaining Master Data Management Concepts

Labs Available:

Assisted Lab: Navigating and Understanding Database Design

Assisted Lab: Understanding Data Types and Conversion

Assisted Lab: Working with Different File Formats

APPLIED LAB: Understanding Data Structure and Types and Using Basic Statements

Assisted Lab: Using Public Data

Assisted Lab: Profiling Data Sets

Assisted Lab: Addressing Redundant and Duplicated Data

Assisted Lab: Addressing Missing Values

APPLIED LAB: Preparing Data for Use

Assisted Lab: Recoding Data

Assisted Lab: Working with Queries and Join Types

APPLIED LAB: Building Queries and Transforming Data

Assisted Lab: Using the Measures of Central Tendency

Assisted Lab: Using the Measures of Variability

APPLIED LAB: Analyzing Data

Assisted Lab: Building Basic Visuals to Make Visual Impact

Assisted Lab: Building Maps with Geographical Data

Assisted Lab: Using Visuals to Tell a Story

Assisted Lab: Filtering Data

Assisted Lab: Designing Elements for Dashboards

Assisted Lab: Building an Ad Hoc Report

APPLIED LAB: Visualizing Data

Assisted Lab: Understanding Security Requirements for Protecting Information

License Information

  • One license provides access to CertMaster Learn for Data+ (DA0-001) with CertMaster Labs integrated throughout the course
  • Once activated, the license is valid for 12 months

The Official CompTIA Data+ Student Guide (Exam DA-001) eBook

Table of Contents

Lesson 1: Identifying Basic Concepts of Data Schemas

Lesson 2: Understanding Different Data Systems

Lesson 3: Understanding Types and Characteristics of Data

Lesson 4: Comparing and Contrasting Different Data Structures, Formats, and Markup Languages

Lesson 5: Explaining Data Integration and Collection Methods

Lesson 6: Identifying Common Reasons for Cleansing and Profiling Data

Lesson 7: Executing Different Data Manipulation Techniques

Lesson 8: Explaining Common Techniques for Data Manipulation and Optimization

Lesson 9: Applying Descriptive Statistical Methods

Lesson 10: Describing Key Analysis Techniques

Lesson 11: Understanding the Use of Different Statistical Methods

Lesson 12: Using the Appropriate Type of Visualization

Lesson 13: Expressing Business Requirements in a Report Format

Lesson 14: Designing Components for Reports and Dashboards

Lesson 15: Distinguishing Different Report Types

Lesson 16: Summarizing the Importance of Data Governance

Lesson 17: Applying Quality Control to Data

Lesson 18: Explaining Master Data Management Concepts

Appendix A: Identifying Common Data Analytics Tools

Appendix B: Mapping Course Content to CompTIA Data+ (DA0-001)

Solutions (in the Student and Study Guides only; solutions are presented inline in the Instructor Guide)

Glossary

Index

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